Can I use this agent to analyze competitor products?

Yes, the workflow includes a specific step to identify if you are analyzing your own product or a competitor's to ensure the recommendations are framed correctly.

What sources can the Review Analyst Agent scrape?

The agent can collect reviews from a wide range of platforms including Amazon, G2, Capterra, Reddit, App Store, Google Play, Trustpilot, and many others.

Does this skill require external API keys?

No, the Review Analyst Agent uses browser-based scraping tools and does not require separate API keys for the review platforms it analyzes.

What kind of report does the agent generate?

The agent produces a comprehensive JSON or Markdown report covering sentiment trends, top complaints with evidence quotes, a priority matrix, and an actionable roadmap.

Can I export the analysis to a document?

Yes, the skill integrates with media-utils to generate a professional PDF report of the findings upon request.

Review Analyst Agent

Name: Review Analyst Agent
Author: michaelboeding

bymichaelboeding

•

웹 스크래핑 및 데이터 수집

Automates product review collection and sentiment analysis to identify prioritized product improvements and actionable insights.

The Review Analyst Agent is a comprehensive Claude Code skill designed to transform raw customer feedback into actionable product roadmaps. By deploying four specialized agents—Scraper, Sentiment Analyzer, Issue Identifier, and Improvement Recommender—it crawls platforms like Amazon, G2, Reddit, and App Stores to extract deep insights. It provides a structured synthesis including sentiment scores, prioritized complaint lists, feature requests, and an impact-driven action plan, making it an essential tool for product managers and marketers seeking data-driven decision-making.

주요 기능

019 GitHub stars

02Multi-source web scraping across Amazon, G2, Reddit, and App Stores

03Interactive workflow for targeted product or competitor research

04Frequency-based issue prioritization with severity mapping

05Automated sentiment scoring and emotional pattern analysis

06Actionable improvement recommendations with expected impact metrics

사용 사례

01Validating product-market fit by analyzing user praise and feature requests

02Conducting competitive teardowns to identify weaknesses in rival products

03Prioritizing technical debt and bug fixes based on real-world customer pain points

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add michaelboeding/skills review-analyst-agent

For use in Claude.ai and ChatGPT

Download Skill